The convergence of industrial with digital is transforming the way we power our lives. Decarbonization, decentralization, digitization, democratization—these trends are creating an environment of disruption and driving the need for digital industrial software and services. In response, energy needs to become more efficient, reliable, secure, and sustainable.

The energy landscape will change more over the next 10 years than it did in the previous 100. In addition to the expansion of digital power solutions, power generation will grow more complex and encompass a diverse range of sources. Renewable energy will expand exponentially, and with more people installing solar and scrutinizing the sources of their electricity, a new type of customer—the prosumer—is emerging.

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Challenges? Yes, but also unprecedented opportunity—at least for forward-thinking organizations. Success in this new digital power era will require adaptation, innovation, and leadership. Energy companies of the future will be predictive, prescriptive, and fully autonomous. And we stand ready to help reach these goals with energy software that harnesses the potential of an entire connected system.
We take the power of operational software and combine it with analytics to optimize your network. By creating a common data fabric, making applications modular, layering in machine learning, and taking a distributed approach with architecture and execution, we can help you achieve Network-Level Optimization.
What is Network-Level Optimization? It’s a single source of truth for the electric delivery system, a cohesive, all-encompassing model of equipment, wiring, devices, and other grid components, as-designed and as-operated. It’s a digital brain that leverages data across the enterprise to achieve new levels of productivity and profitability.

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READY FOR ENERGY'S EMERGENT ERA

It’s a moment when our customers are being called to transform—but GE is transforming too. Over the past 130 years, we have rewritten and redesigned our company to meet the challenges we faced yesterday, today—and tomorrow. And right now is no different. We’re poised for the digital industrial era. We’re ready to help lead our customers forward into a new future.

Accelerate the digital industrial transformation to an autonomous future that connects and orchestrates in new ways, leveraging data across the enterprise using advanced analytics, machine learning, and AI—all while remaining flexible: on-prem, on the edge, in the cloud

Scenario:
APM alert is triggered for a substation transformer maintenance. A ServiceMax maintenance job is automatically created to dispatch a tech/crew to the substation to perform the required maintenance task. ServiceMax software schedules and auto-dispatches the right technicians with the right skills and certification, and the necessary parts at the location. Field technician uses mobile device to acknowledge workflow, visually inspect the alert on the device, and run a network trace to check power flow in-and-out of the substation. Once the task is performed, the APM alert is deactivated in the back office.

Targeted Outcome:
Increase productivity by 10-25% as well as improving safety and reliability.

APM, NETWORK LEVEL OPTIMIZATION AND MOBILITY

Scenario:
Provide a single, holistic view of the entire grid from transmission to premise in order to conduct analysis and simulations when the power is flowing bi-directionally from DER as well as downstream from generation via the transmission network. Compare and contrast the "as build" vs. "as operated" switching on the map.

Targeted Outcome:
Improve grid asset utilization by 15%.

MODEL AND CONNECTIVITY SERVICES FOR GRID ANALYTICS

Scenario:
A prerequisite for predictive analytics is having a good understanding of your data. In order to gain this understanding it is necessary to be able to combine data together and create dashboards in an exploratory mode without being a developer. And in a digital energy grid context you must understand network topology.

Targeted Outcome:
Allowing customers to understand and present their own energy data analytics.

SITUATIONAL AWARENESS DISPLAYS

Scenario:
Provide simple dashboards and displays containing information previously only available to users able to use specialized siloed systems. For example, displaying SCADA or outage alarm visualizations against the network assets for backoffice users outside of the Control Room, mobile workers in the field etc.

Targeted Outcome:
Breaks down silos and provides more information across a distributed workforce.

HISTORICAL NETWORK VIEWER

Scenario:
Analysis of historic events which trigger an FDIR automation scheme. The sequence of events takes place over a very short timescale, and the operators wish to look back and replay what happened.

Identify location via map

Choose approximate time of day

Use timeline to analyze and navigate alarms

Select playback review period, play back at variable speed, or fast forward/skip

Access optional analysis capabilities

Filter out non-essential alarms from list

Replay at different views across network

Add additional analogues to playback view

Perform detailed alarm, event, audit log analysis

WATCH THE TRANSFORMATION

Discover the power of the digital industrial transformation–and see how professionals like you around the world are getting ready for the energy future.

Video: Analytics and the Digital Utility

How can you use a data fabric to unlock insights you weren’t able to unlock before? GE’s Matt Schnugg explains.

Video: Distributed Energy Resources and the Digital Utility

With distributed energy resources emerging at a pace that utilities can’t control, utilities need to start preparing now for the future. GE has an end-to-end, integrated, and interoperable solution.

Video: Australian Energy Customers on GE Power

Learn how GE is working with energy companies to solve the particular challenges of the Australian market.